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Evaluation of high-resolution satellite-derived solar radiation data for PV performance simulation in East Africa

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posted on 2021-11-02, 09:07 authored by Diane Palmer, Richard BlanchardRichard Blanchard
Access to reliable, clean, modern cooking enhances life chances. One option is photovoltaic cooking systems. Accurate solar data is needed to ascertain to what extent these can satisfy the needs of local people. This paper investigates how to choose the most accurate satellite derived solar irradiance database for use in Africa. This is necessary because there is a general shortage of ground measurements for Africa. The solar data is needed to model the output of solar cooking systems, for instance, a solar panel, battery and electric pressure cooker. Four easily accessible satellite databases are validated against ground measurements using a range of statistical tests. Results demonstrate the impact of the mathematical measure used and the phenomenon of balancing errors. Fitting of the satellite model to appropriate climate zone and/or nearby measurements improves accuracy, as does higher spatial and temporal resolution of input parameters. That said, all the four databases reviewed were found to be suitable for simulating PV yield in East Africa.

Funding

UK Foreign Commonwealth and Development Office grant IATI Identifier: GB-GOV-1-300123: Modernising Energy Cooking Services

Innovate UK Energy Catalyst Round 6: Project Number 10528, Productive Use of DC Solar Power in Africa to Improve Quality of Rural Life

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Published in

Sustainability

Volume

13

Issue

21

Publisher

MDPI AG

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2021-10-22

Publication date

2021-10-27

Copyright date

2021

ISSN

2071-1050

Language

  • en

Depositor

Dr Richard Blanchard. Deposit date: 1 November 2021

Article number

11852

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